Data Mesh: Why Federal Agencies Should Be Early Adopters

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Presented by

Cindy Walker, VP, Data Management & Analytics CoE Lead, Octo | Rohini Krishnapura, Senior Technical Product Manager, AWS

About this talk

The promise of data mesh for Federal government organizations is significant, and most stand to benefit from pivoting from their current approach to a data mesh as soon as possible. Today, most Federal government organizations want to drive innovation and become data-driven, and they are not afraid to make huge investments in technology to try and achieve aspirational data goals. Many have invested billions of dollars in machine learning/artificial intelligence (ML/AI) capabilities to support the use of data analytics for data-driven decision-making, yet they are still struggling to source, manage, access, and protect trustworthy analytical data at scale. As a result, most are not realizing maximum value from their significant and increasing investments in data analytics, and their data value to investment ratio is low. This disappointing Return on Investment is not due to an absence of high-level support within the organization. In fact, in most federal agencies, it is the Chief Data Officer (CDO) or leaders at the highest levels of the organization pushing for the change needed to accelerate innovation and realize data advantage. The reasons for failure share common patterns, requiring a nudge to a new approach that is grounded in lessons from distributed architecture, microservices, and product thinking. In this webinar, you will learn: 1. What is Data Mesh? 2. Why Do Federal Organizations Need Data Mesh? 3. Why Be an Early Adopter? 4. How to Design a Data Mesh Platform 5. How to Get Started with Execution Speakers: *Cindy Walker, VP, Data Services CoE Lead, Octo *Rohini Krishnapura, Senior Technical Product Manager, Amazon Web Services

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